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TRABALHOS DE FIM DE CURSO @PUC-Rio
Consulta aos Conteúdos
Estatística
Título: USING COMPUTER VISION TO RECOGNIZE MAKEUP BRANDS AND TYPES OF FITZPATRICK SKIN, ACCORDING TO THE TAYLOR HYPERPIGMENTATION SCALE
Autor(es): JULIANA HELUY DO PRADO
Colaborador(es): MARCELO GATTASS - Orientador
LUIZ FERNANDO TRINDADE SANTOS - Coorientador
Catalogação: 06/SET/2022 Língua(s): PORTUGUESE - BRAZIL
Tipo: TEXT Subtipo: SENIOR PROJECT
Notas: [pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio.
[en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio.
Referência(s): [pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=60510@1
[en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/TFCs/consultas/conteudo.php?strSecao=resultado&nrSeq=60510@2
DOI: https://doi.org/10.17771/PUCRio.acad.60510
Resumo:
The beauty industry is an ever growing market, and it isn t as explored by technology as it could be when it comes to the company-consumer relationship. Currently the biggest means of communication is YouTube, with influencers reviewing every product. However, the search for personalized content is still scarce. Considering this, the objective of this Final Project is to train the object detection computer vision model, YOLOv5, to recognize logos. Roboflow will also be used to annotate and split the database. Also, considering the scope of the project, a Convolutional Neural Network will be implemented to detect the face and recognize the skin using K-Means. Also, the Fitzpatrick skin type will be defined, according to the Taylor Hyperpigmentation scale.
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